AI Research Engineer: Contextual Code Intelligence

Tricefal; Paris; Sur place; EUR 90 000 - 130 000; Plein temps

Résumé du poste

A European deep-tech startup is seeking an AI Research Engineer to work across the full lifecycle of advanced machine learning systems focused on robustness and real-world impact. Responsibilities include designing neural representations, implementing semantic vectorization techniques, and ensuring alignment between embeddings and code structure. Candidates should have strong software engineering fundamentals and proficiency in Python, along with experience in AI model development. The role is based in Paris and offers a collaborative environment.

Qualifications

• Strong fundamentals of software engineering.
• Strong knowledge of Python and its ML frameworks.
• Experience with the full lifecycle of AI model development.
• Developing new ML methods, algorithms, and models.

Responsabilités

• Design, train, and iterate on neural representations optimized for similarity search.
• Implement semantic vectorization techniques for high-value content.
• Improve content polarization toward precise software constructs.
• Ensure alignment between semantic embeddings, code structure, and runtime behavior.

Connaissances

Software engineering fundamentals

Python

AI model development lifecycle

ML methods and algorithms

Description du poste

A European deep-tech startup is seeking an AI Research Engineer to work across the full lifecycle of advanced machine learning systems focused on robustness and real-world impact. Responsibilities include designing neural representations, implementing semantic vectorization techniques, and ensuring alignment between embeddings and code structure. Candidates should have strong software engineering fundamentals and proficiency in Python, along with experience in AI model development. The role is based in Paris and offers a collaborative environment.